agent-introspection-debugging

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Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.

AI & Automation 196,640 stars 30253 forks Updated 2 days ago MIT

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Skill Content

# Agent Introspection Debugging Use this skill when an agent run is failing repeatedly, consuming tokens without progress, looping on the same tools, or drifting away from the intended task. This is a workflow skill, not a hidden runtime. It teaches the agent to debug itself systematically before escalating to a human. ## When to Activate - Maximum tool call / loop-limit failures - Repeated retries with no forward progress - Context growth or prompt drift that starts degrading output quality - File-system or environment state mismatch between expectation and reality - Tool failures that are likely recoverable with diagnosis and a smaller corrective action ## Scope Boundaries Activate this skill for: - capturing failure state before retrying blindly - diagnosing common agent-specific failure patterns - applying contained recovery actions - producing a structured human-readable debug report Do not use this skill as the primary source for: - feature verification after code changes; use `verification-loop` - framework-specific debugging when a narrower ECC skill already exists - runtime promises the current harness cannot enforce automatically ## Four-Phase Loop ### Phase 1: Failure Capture Before trying to recover, record the failure precisely. Capture: - error type, message, and stack trace when available - last meaningful tool call sequence - what the agent was trying to do - current context pressure: repeated prompts, oversized pasted logs, duplicated plans, or run...

Details

Author
affaan-m
Repository
affaan-m/everything-claude-code
Created
4 months ago
Last Updated
2 days ago
Language
JavaScript
License
MIT

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